applied machine learning engineer – ml & ai systems

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ai engineering intern - summer 2026 Jobs in Chicago

ai engineering intern - summer 2026

ai machine learning engineer Jobs in Chicago

ai machine learning engineer

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ai sr. principal cybersecurity architect

applied machine learning engineer – ml & ai systems Jobs in Chicago

applied machine learning engineer ml ai systems

The Hartford

<div><h2 class="jobSectionHeader">Job Details</h2>
<div><div><div>Location:</div>
<div>Chicago, IL</div>
</div><div><div>Category:</div><div>
Data &amp; Analytics</div>
</div><div><div>Employment Type:</div>
<div>Full time
</div></div><div><div>Job Ref:</div><div>
R2625795-172</div>
</div></div><div><div>Data Engineer - GE08AE
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future. 
<div>The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. 
The Hartford is developing industry‑leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Machine Learning AI Engineer, you will play a key role in contributing to the designing, building, and operationalizing production‑grade AI solutions&mdash;partnering closely with product, engineering, and platform leaders to deliver measurable impact. 
 
Our core values 
<ul><li>We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.</li><li>We are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.</li><li>We provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.</li><li>We will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.</li><li>We are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.</li></ul> 
Responsibilities 
<ul><li>Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.</li><li>Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.</li><li>Accountable for deployment design, development and maintenance of both traditional ML and AI models.</li><li>Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams</li><li>Delivery of critical milestones for model deployment in the AWS and GCP cloud environments.</li><li>Adopt and promote MLOps best practices to the Data Science community.</li></ul> 
Minimum Requirements 
<ul><li>Must be authorized to work in the U.S. now and in the future.</li><li>1+ years of equivalent experience in a research or DevOps function.</li><li>Development experience developing solutions within AWS, GCP or both.</li><li>Exposure to developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.</li><li>Familiarity with building and deploying API services within the Cloud.</li><li>Familiarity building CICD pipelines using Jenkins or equivalent</li><li>Exposure with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents</li><li>Experience in Unix, git, and strong object oriented development experience using Python</li><li>Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar)</li><li>Basic understanding of Data Science model development life cycle</li></ul></div><ul><li>Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM&rsquo;s into automated processes</li></ul>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,960 - $151,440
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</div></div></div>

AI Machine Learning Engineer

Deloitte

<div>
 Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
 
 Data Scientist,
 
 you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
 
 
 
 Recruiting for this role ends on June 30 th 2026
 
 
 
 
 Work You'll Do/Responsibilities
 
 
 
 <ul>
 <li>
 Work with stakeholders to identify business problems and formulate them as data science challenges.
 </li>
 <li>
 Collect, clean, and explore large datasets to uncover trends and patterns.
 </li>
 <li>
 Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
 </li>
 <li>
 Validate and deploy models into production environments.
 </li>
 <li>
 Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
 </li>
 <li>
 Stay up to date with the latest trends and technologies in data science and machine learning.
 </li>
 <li>
 Ability to work independently and collaborate as part of a team
 </li>
 <li>
 Effective written and verbal communication skills
 </li>
 <li>
 Meticulous attention to detail and quality of work product
 </li>
 <li>
 Ability to build and sustain professional relationships
 </li>
 <li>
 Ability to lead projects or workstreams
 </li>
 <li>
 Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
 </li>
 <li>
 Strong interpersonal skills and professional demeanor
 </li>
 <li>
 Ability to meet deadlines
 </li>
 <li>
 Ability to provide clear guidance to others
 </li>
 <li>
 Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
 </li>
 <li>
 Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
 
 
 </li>
 </ul>
 
 The Team
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.
 
 
 Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
 
 
 
 Qualifications
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
 </li>
 <li>
 5+ Years of Experience in a Data Science or Machine Learning role.
 </li>
 <li>
 5+ Years of Experience Proficiency in programming languages such as Python or R.
 </li>
 <li>
 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
 </li>
 <li>
 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
 </li>
 <li>
 Limited immigration sponsorship may be available
 </li>
 <li>
 Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Master's or Ph.D. in a relevant field.
 </li>
 <li>
 Experience with big data technologies like Spark or Hadoop.
 </li>
 <li>
 Experience with deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Experience with data visualization tools like Tableau or Power BI.
 </li>
 <li>
 Analytical/ Decision Making Responsibilities
 </li>
 <li>
 Analytical ability to manage multiple projects and prioritize tasks into manageable work products
 </li>
 <li>
 Can operate independently or with minimum supervision
 </li>
 <li>
 Excellent Written and Communication Skills
 </li>
 <li>
 Ability to deliver technical demonstrations
 
 
 </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800
 
 
 You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
</div>

Data Scientist

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Infrastructure Operations Lead translates business needs into technical systems solutions and architectural roadmaps. The Lead Enterprise Architect works on problems of diverse scope and complexity ranging from moderate to substantial.
The Infrastructure Operations Lead is an expert in 24/7 operations with high performing and scaling systems that meet a high degree of uptime. An expert in all facets of Cloud and DC hosting operations Experience communicating updates and resolutions to customers and other partners with customers and internal stake holders. The ideal candidate will have expert knowledge in Kubernetes (AKS/GKE) and has previous hands-on experience in containerized environments using Automation capabilities.
In addition, this Leader will spearhead the research, evaluation and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) capabilities within the Infrastructure Operations domain. This role will blend traditional Infrastructure management with next-generation AI-driven automation, predictive analytics, and intelligent operational enhancements to improve system reliability, efficiency and scalability.
By bridging traditional IT Operations with emerging AI technologies, this role will accelerate digital transformation and enhance system reliability. Additionally, it will reduce operational overhead while ensuring compliance with healthcare regulations, such as HIPAA and PHI. This individual will serve as a technical innovator and cross-functional collaborator, driving the roadmap for AI-augmented Infrastructure Operations in a high-impact, patient-centered environment.
Key Responsibilities:<ul><li>
Lead and provide direction for our Managed Service Provider (MSP)</li><li>
Lead Managed Service Provider in Operations for Azure, GCP and AWS Cloud environment</li><li>
Drives moderate to complex processing improvements through optimization, enhancements and implementation of new operational features and functions around Cloud compliance, metrics/reporting and cost optimization</li><li>
Provide senior level expertise on decisions and priorities regarding the enterprises overall Cloud Operations strategy, consumption, and optimization opportunities - understand Cost controls and the various cost optimization techniques</li><li>
Identifies, drives and assists in the implementation of opportunities to standardize Cloud environments</li><li>
Provides Coud governance, processes and technical advisory support to business units and projects by working cross-functionally and provides recommendations that support the business needs</li><li>
Participant as required (Level 2/3 escalation point) for Incident Management</li><li>
Participate and develop client relationships within Operations, Business partners, Managed Service Providers and Cloud Providers</li><li>
Work with cross-functional teams to support the engineering and implementation of new Cloud applications or solutions and define the related risks and onboard new capabilities</li><li>
Ability to communicate at all levels within an organization and influence strategic direction</li><li>
Ability to work with minimal supervision, making decisions based upon priorities, schedules and understanding business initiatives</li><li>
This leader will explore and prototype AI-driven solutions to automate incident response, predict system failures, summarize complex telemetry data, and develop intelligent copilots to support Operations teams</li><li>
Lead research and evaluation of cutting-edge AI and GenAI tools applicable to Infrastructure Operations (e.g., LLMs, vector databases, predictive analytics)</li><li>
Design and prototype AI-driven systems for automated incident detection, anomaly classification, infrastructure forecasting/resiliency &ndash; leading to lower MttR and manual overhead in mission-critical environments</li><li>
Develop and lead the strategic roadmap for AI adoption in Infrastructure Operations</li><li>
Collaborate with Infrastructure and Cloud Operations teams to pilot and integrate AI/GenAI features into critical workflows</li><li>
Modernize observability and alerting using AI/ML models for proactive monitoring and self-healing actions</li><li>
Lead R&amp;D of GenAI solutions for predictive alerting, incident triage and infrastructure automation</li><li>
Build AI copilots and natural language tools for infrastructure operations teams</li><li>
Integrate LLMs into observability platforms for real-time RCA and log summarization</li><li>
Pilot and productionize GenAI-based assistants, bots, and copilots to support ticket triage, knowledge management and resolution workflows</li><li>
Identify automation opportunities and implement AI-enhanced runbooks, workflows and self-healing mechanisms</li><li>
Contribute to a strategic roadmap for GenAI maturity within Infrastructure &amp; Operations, including tools, governance and organizational readiness</li><li>
Partner with internal data science and clinical innovation teams to create proofs of concept, build ML/GenAI pipelines, and integrate with existing toolchains (e.g., ServiceNow, Splunk, Terraform)</li><li>
Autonomous log summarization, RCA generation and playbook suggestions</li><li>
Natural language interfaces for querying system health or telemetry</li><li>
Act as a GenAI ambassador, helping Infrastructure Operations teams upskill in AI-augmented technologies and use cases</li></ul><h1 class="jobSectionHeader"> 

Use your skills to make an impact 

</h1>Required Qualifications<ul><li>
Bachelor's in Computer Science, Artificial Intelligence, Healthcare Informatics, or a related field</li><li>
10+ years in infrastructure operations or engineering, with at least 3+ years of hands-on involvement in AI/ML or GenAI R&amp;D</li><li>
Deep understanding of large language models (LLMs), vector databases, retrieval-augmented generation (RAG), and model orchestration (e.g., LangChain, Haystack).</li><li>
Experience integrating AI/GenAI capabilities with infrastructure automation tools (Terraform, Ansible, Python, Bash)</li><li>
Familiarity with healthcare systems and compliance frameworks (HIPAA, HITRUST)</li><li>
Proficiency with observability and telemetry platforms (e.g., Splunk, DynaTrace, SolarWinds) and AI-driven monitoring</li><li>
Strong problem-solving and experimentation mindset, with the ability to move from concept to pilot rapidly</li><li>
Experience with Continuous Integration and Deployment Pipelines, i.e. Azure DevOps, Jenkins, Git, Git Hub</li><li>
Has hands on scripting experience using one of the following: Terraform, Cloud Formation, PowerShell, Azure CLI, Python, JSON, Perl or Bash</li></ul>
Preferred:<ul><li>
Master's degree</li><li>
Azure, AWS, GCP, ITIL and/or SRE certifications</li><li>
Experience with GenAI platforms (e.g., Azure OpenAI, Google Vertex AI)</li><li>
Experience deploying or evaluating open-source LLMs or fine-tuning models for infrastructure use cases</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Infrastructure Operations Lead Cloud and AI GenAI Enablement

Infinite Lambda

<div><h2 class="jobSectionHeader">Role Overview</h2>
The Data/AI Solutions Architect role at Infinite Lambda is designed for a technical leader who bridges sales and engineering, driving growth in a fast-growing consultancy focused on data and AI solutions. This position is crucial for engaging clients, shaping sales strategies, and expanding into new markets.
The position is titled Data/AI Solutions Architect, reporting directly to the General Manager, US, and is situated within the Global Sales Organization. This leadership role is critical for aligning technical expertise with sales objectives, ensuring Infinite Lambda&rsquo;s solutions meet client needs effectively.
LOCATION &amp; WORK ARRANGEMENTS
The role is remote, but you will be expected to travel occasionally to client sites, company meetings, and partner events.
DETAILED RESPONSIBILITIES
PROSPECTIVE CLIENT ENGAGEMENT<ul><li>
Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle;</li><li>
Understand and document client needs, articulating how Infinite Lambda&rsquo;s products and services can address these needs effectively;</li><li>
Work closely with the sales team to foster collaboration and develop compelling proposals that meet</li><li>
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals;</li><li>
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity;</li><li>
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap.</li></ul>
LEAD SALES ENGINEER STRATEGY<ul><li>
Work with departments such as Product &amp; Services, Customer Success, and Sales &amp; Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions;</li><li>
Collaborate with Product &amp; Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends;</li><li>
Enhance the positioning of Infinite Lambda&rsquo;s products and services during the sales process and beyond, improving how value is communicated to clients;</li><li>
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company&rsquo;s market positioning;</li><li>
Conduct regular research on industry trends, working with leadership to evolve strategies as appropriate to maintain competitiveness;</li><li>
Deepen subject-matter knowledge in Infinite Lambda&rsquo;s key industry verticals, ensuring a strong understanding of client needs and market dynamics.</li></ul>
ADDITIONAL DUTIES<ul><li>
Work with Infinite Lambda&rsquo;s executive team to help steer the company&rsquo;s overall strategy in a positive direction, providing insights from solutions architect perspectives.</li><li>
Represent Infinite Lambda at external conferences and events, promoting the company&rsquo;s brand, thought leadership, and expertise in data and cloud engineering.</li></ul>
REQUIREMENTS<ul><li>
Education: A Bachelor&rsquo;s degree in Engineering, Computer Science, or a related field is required; an advanced degree is preferred;</li><li>
Experience: A proven track record in data consulting, sales engineering or technical sales, preferably within the data, cloud, or technology sectors;</li><li>
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential;</li><li>
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, micro services, DataOps and MLOps practices;</li><li>
Communication skills: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders;</li><li>
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion;</li><li>
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product &amp; Services, Customer Success, and Sales &amp; Partnerships;</li><li>
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role.</li><li>
Traveling: The Solutions Architect role Requires travel at least once per month to NYC/California, Philadelphia, etc...</li></ul><h2 class="jobSectionHeader">
INTERVIEW PROCESS</h2><ul><li>
Intro call with TABP: 45-min</li><li>
Interview with General Manager: 45-min</li><li>
Technical interview with Head of Engineering/CTO and Presales Engineer: 90-min</li><li>
Cultural Chat with CEO: 45-min</li></ul>
Why join Infinite Lambda<ul><li>
We support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;</li><li>
You work autonomously here in a wholesome environment and get as much paid holiday as you need;</li><li>
The projects are diverse and give you plenty of opportunity to experiment with new tech;</li><li>
The benefits are plenty, with work-from-home budget, a company MacBook and more on the list.</li></ul>
Submit your CV in English in PDF.
Mind that as we are an international team, internal communication is in English.
In the US, as a final step in the hiring process, applicants are required to undergo a criminal background check with an accredited third-party screening company. Employment offers depend on the successful completion of this background check and the verification of all relevant information. We will request your explicit written consent before any screening begins.
We are committed to fair hiring practices and will consider all qualified applicants in accordance with applicable federal, state, and local laws governing criminal background inquiries.
Infinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants on the grounds of any characteristics, such as disability, age, gender, sexual orientation, family status, race, faith or other.
Compensation Range: $180K - $210K</div>

Data/AI Solutions Architect

Mars

Job Description: 
Digital Broadcast Video Production Lead
 Are you a creative and technically savvy broadcast professional passionate about producing high-stakes events? We are looking for a Digital Broadcast Video Production Lead to join our Executive Collaboration Services (ECS) team. In this role, you will be the driving force behind the planning and execution of engaging in-person, hybrid, and virtual broadcasts for Mars top executive leadership. Your work will be front and center, supporting everything from global town halls and leadership summits to critical corporate communications.
 In this role, you will own our most critical broadcast projects, blending your creative vision with technical expertise to deliver flawless productions. You will contribute to our Broadcast Center of Excellence, maintaining state-of-the-art systems, providing exceptional service to our senior stakeholders, and continuously innovating to elevate our broadcast capabilities. If you thrive in a dynamic, high-visibility environment and enjoy shaping world-class corporate events, this is the perfect opportunity to make a significant impact.
 What are we looking for?
 
<ul>
<li>Education: A Bachelors degree in Broadcasting, Communications, Film, Digital Design, or a related field.</li>
<li>Live Event Production: Minimum 5 years of experience in live and hybrid event production, with hands-on expertise across multiple elements including audio, video, lighting, and stage setup.</li>
<li>Broadcast Technology: Advanced knowledge of professional broadcast equipment, including digital video cameras, audio systems (mixers, wireless microphones), stage lighting, and vision mixers. Advanced proficiency with IP-based video and audio routing technologies (NDI, Dante, RTMP, SRT) and professional production switchers (e.g., TriCaster, Ross Video).</li>
<li>Corporate AV Expertise: Intermediate proficiency with Enterprise A/V tools such as Crestron, Extron, Q-Sys, Shure, Microsoft Teams Rooms, Zoom Rooms, Cisco WebEx, and emerging AI technologies such as automated camera tracking/switching.</li>
<li>Video Production Skills: Minimum 3 years of hands-on video production experience, including camera operation, 3-point lighting, and field audio recording.</li>
<li>Collaboration Platforms: Intermediate proficiency with Microsoft 365, especially using Microsoft Teams as a broadcast and meeting platform.</li>
<li>Project Management: Proven ability to manage multimedia projects from concept to completion, including scoping, prioritizing, and meeting deadlines in a fast-paced environment.</li>
<li>Nice-to-Have: Experience with the Adobe Creative Suite, IT networking fundamentals (VLANs, switch management), and 3D virtual set technology (e.g., Unreal Engine) is considered a strong asset.</li>
</ul>
What will be your key responsibilities?
 
<ul>
<li>Plan, coordinate, and flawlessly execute live, hybrid, and virtual broadcast events for Mars executive leadership.</li>
<li>Serve as the key operational lead during live events, filling roles as needed, such as show-caller, technical director, camera operator, audio engineer, graphics operator, stage manager, and remote support roles as necessary.</li>
<li>Lead pre-production planning, advising stakeholders on best practices and platform selection to realize their creative vision.</li>
<li>Oversee all technical aspects of events, including the setup, calibration, and operation of all broadcast equipment (cameras, microphones, audio/vision mixers, lighting, etc.).</li>
<li>Serve as the key operational lead during live events, filling roles as needed, such as technical director, show-caller, audio engineer, and graphics operator.</li>
<li>Collaborate with creative partners to create and manage digital assets (e.g., lower thirds, animated transitions, backplates) that elevate the production value.</li>
<li>Manage the inventory of broadcast equipment, including maintenance, firmware updates, and vendor relations.</li>
<li>Maintain and build strong relationships with executive stakeholders, Corporate Affairs teams, and partners, ensuring a customer-centric approach.</li>
<li>Drive a culture of continuous improvement to enhance broadcast quality, adopt new capabilities, and increase operational efficiency.</li>
</ul>
What can you expect from Mars?
 
<ul>
<li>Work with diverse and talented Associates, all guided by our Five Principles.</li>
<li>Join a purpose-driven company where we’re striving to build the world we want tomorrow, today.</li>
<li>Best-in-class learning and development support from day one, including access to our in-house Mars University.</li>
<li>An industry-competitive salary and benefits package, including a company bonus.</li>
</ul>
#LI-LD1
 #LI-Onsite
 #TBdigital
 
The base pay range for this position at commencement of employment is between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to job-related knowledge, skills, and experience. The total compensation package for this position will include variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits. Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.
 
The pay range shown is applicable to all US locations listed within the job posting: USD 86,720.00 - USD 119,240.00

Digital Broadcast & Video Production Lead

Morningstar

<div>Senior Marketing Video Producer | Creative Services
About the role:
The Morningstar Creative Services Team is looking for an experienced Senior Marketing Video Producer with a passion for executing marketing video content that drives a modular multimedia system forward. In this role, you will be part of a cross-functional team responsible for execution of marketing videos and building components the organization can use to scale. Focused on the production of short- and long-form content with a social-first mindset, tasks include planning, producing, and editing engaging video content across digital platforms. This role combines storytelling, technical editing, and strategic content development to deliver platform-optimized clips that grow audience engagement on our global websites, social media, and other digital channels.
The ideal candidate is AI‑fluent&mdash;playing a key role in advancing how AI is thoughtfully applied within the design practice&mdash;helping explore, pilot, and lead the adoption of AI‑enabled tools and workflows that augment design thinking, accelerate iteration, and improve clarity&mdash;while upholding Morningstar&rsquo;s standards for quality, ethics, brand integrity, and human‑centered design.
This position is based in our Chicago office and follows a hybrid model with a minimum of four days onsite. We intentionally prioritize in‑person collaboration, as we&rsquo;ve found it strengthens creative quality, alignment, and team momentum.
Our creative culture:
Morningstar is a collaborative environment where creative roles work across disciplines and regions with a strong commitment to craft. Our design heritage is rooted in helping people around the world make confident investing decisions. We work as integrated teams&mdash;sharing feedback, solving problems together, and supporting each other&rsquo;s growth. We look for team members who bring good judgment, empathy, and a collaborative mindset to every project, and who can navigate business trade-offs and competing priorities while maintaining Morningstar&rsquo;s standard of design excellence. The Creative Services team embraces brand consistency and increased efficiency by building design systems and leaning into AI for scale and innovation.
Job responsibilities:<ul><li>Utilize your expertise for all aspects of media production execution, including narrative development, pre-production, hands-on technical production, post-production, editing, media content delivery and dependable archiving of material.</li><li>Create narratives that translate long-form source content&mdash;such as research, interviews, and strategies&mdash;into compelling video narratives that deliver great storytelling to specific audiences.</li><li>A primary focus of this role is to leverage the foundation of a modular video system and execute, maintain and build upon the system.</li><li>Use industry best practices to plan and perform the execution of video content including talent direction, lighting, camera operation, sound capture, video editing, graphics creation (using existing guidelines and platforms), audio enhancement, and file encoding.</li><li>Work in partnership with designers and writers throughout the company to drive alignment to brand standards, meet a high standard of production quality, and advance smart, innovative design systems built for scale.</li><li>Collaborate with designers, writers, marketers and other multimedia teams with a one-team mindset.</li><li>Embrace an agile work environment, including the ability to embrace iterative marketing design while maintaining a cohesive and holistic view of the overall design experience.</li><li>Take sophisticated financial data and analysis and distill it into easily-understood video concepts with a strong affinity to tell stories through data visualizations in cross-channel applications.</li><li>Champion automation, explore use of AI tools, and find opportunities to build creative solutions that increase speed to market, without sacrificing creative quality.</li><li>Partner with peers and stakeholders to align on strategy, project management needs, timelines, and executional details.</li><li>Stay up to date with the latest industry trends and best practices to ensure that content created is relevant and appealing.</li></ul>
Qualifications:<ul><li>7+ years of experience in multimedia, corporate video production, social media content creation or related fields</li><li>Strong background and experience creating video for cross-channel digital marketing campaigns, from concept to execution</li><li>Digitally-savvy with proven experience around Adobe Creative Suite&mdash;Premiere Pro, After Effects, Photoshop, Illustrator, and Audition&mdash; and Microsoft platforms, Figma</li><li>Strong design, color and typography skills that align with brand standards</li><li>Excellent interpersonal and analytical skills; self-directed, comfortable working independently, and able to thrive in a rapidly changing environment</li><li>Have an enthusiastic and engaging presentation style and visual communication skills to present design solutions to project teams and stakeholders</li><li>Proven fluency with AI-enabled content workflows, including experience evaluating, piloting, or operationalizing AI tools that improve content quality, efficiency, or governance</li><li>Ability to successfully receive and interpret direction from creative partners and marketers, proactively acting on feedback</li><li>Self-starter with ability to coordinate multiple large and small projects in a fast-paced environment managing multiple stakeholders, projects, and priorities</li><li>Experience working with large global brands that demonstrate scale is a plus</li><li>Bachelor&rsquo;s degree in multimedia, design, communication arts, or related field, and a minimum of five years of experience in a creative agency or in-house creative in marketing, financial services, technology, consulting or consumer products</li></ul>
How to apply:
Please include a portfolio of work that you&rsquo;re most proud of, so you can tell stories about your experience and the impact you've had. We're interested in your video product and want to understand how you work with a team to solve problems.
Compensation and Benefits
At Morningstar we believe people are at their best when they are at their healthiest. That&rsquo;s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:<ul><li>
Financial Health<ul><li>
100% 401k match up to 6% of salary</li></ul><ul><li>
Stock Ownership Potential</li><li>
Company provided life insurance - 1x salary + commission</li></ul></li><li>
Physical Health<ul><li>
Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages</li><li>
Additional medical Wellness Incentives - up to $300-$600 annual</li><li>
Company-provided long- and short-term disability insurance</li></ul></li><li>
Emotional Health<ul><li>
Trust-Based Time Off</li><li>
6-week Paid Sabbatical Program</li><li>
6-Week Paid Family Caregiving Leave</li><li>
Competitive 8-24 Week Paid Parental Leave</li><li>
Adoption Assistance</li><li>
Leadership Coaching &amp; Formal Mentorship Opportunities</li><li>
Annual Flex Stipend - $1000 annually to cover personal education &amp; well-being expenses
</li><li>Tuition Reimbursement</li></ul></li><li>
Social Health<ul><li>
Charitable Matching Gifts program</li><li>
Dollars for Doers volunteer program</li><li>
Paid volunteering days</li><li>
15+ Employee Resource &amp; Affinity Groups</li></ul></li></ul>
Total Cash Compensation Range
$74,325.00-109,008.33
Inclusive of annual base salary and target incentive
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
001_MstarInc Morningstar Inc. Legal Entity</div>

Senior Marketing Video Producer

BMO Financial Group

<div><div><div><div><div><div><div><div>Application Deadline:
</div></div></div></div></div></div></div>07/23/2026
Address:
320 S Canal Street
Job Family Group:
Business Management
Role Summary
The Control Tester and Advisor &ndash; Data &amp; AI Governance is responsible for executing and leading control testing activities and providing risk and control advisory support related to Data Governance and AI Governance.
This role assesses design effectiveness and operating effectiveness of controls, performs end-to-end process walkthroughs, analyzes governance artifacts, and identifies, documents, and communicates control issues. In addition, the role partners with business, technology, and risk teams to provide advisory support on risk identification, control design, process improvements, and risk assessment activities related to data and AI governance.
The role requires strong testing judgment, the ability to develop and execute test steps, and the ability to provide practical, risk-based advice while maintaining independence and objectivity.
<div></div>Key Responsibilities
Control Testing &amp; Assessment
<ul><li>Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls.
</li><li>Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
</li><li>Perform reperformance testing, sampling, and evidence validation to assess control execution.
</li><li>Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk.
</li></ul><div></div>Advisory, Risk &amp; Control Support
<ul><li>Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance.
</li><li>Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations.
</li><li>Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage.
</li><li>Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes.
</li><li>Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks.
</li><li>Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles.
</li></ul><div></div>Process Understanding &amp; Walkthroughs
<ul><li>Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities.
</li><li>Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews.
</li><li>Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities.
</li></ul><div></div>Artifact Review &amp; Analysis
<ul><li>Analyze and assess business and governance artifacts, including:
<ul><li>Data governance policies, standards, and procedures
</li><li>Data lineage, metadata, and data quality documentation
</li><li>AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence)
</li></ul></li><li>Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation.
</li><li>Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations.
</li></ul><div></div>Issue Identification, Risk Insight &amp; Communication
<ul><li>Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis.
</li><li>Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact.
</li><li>Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations.
</li><li>Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner.
</li></ul><div></div>Stakeholder, Business &amp; Risk Partner Engagement
<ul><li>Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas.
</li><li>Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches.
</li><li>Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance.
</li><li>Contribute to continuous improvement of Data &amp; AI governance testing and advisory practices.
</li></ul><div></div>Documentation &amp; Quality
<ul><li>Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions.
</li><li>Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.
</li></ul><div></div>Qualifications
Required
<ul><li>3&ndash;5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions.
</li><li>Demonstrated experience performing control design and operating effectiveness testing.
</li><li>Experience supporting or contributing to risk assessments and control evaluations.
</li><li>Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts.
</li><li>Strong written and verbal communication skills, including issue write-ups and advisory discussions.
</li><li>Required: CISA, CRISC or CGRC. Preferred: CDMP or AIGP
</li></ul>Preferred
<ul><li>Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.
</li><li>Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks.
</li><li>Experience balancing independent testing responsibilities with advisory and consultative support.
</li></ul>Salary :
$57,500.00 - $106,500.00
Pay Type:
Salaried
The above represents BMO Financial Group&rsquo;s pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</div>

Control Tester & Advisor – Data & AI Governance

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